• DocumentCode
    3474786
  • Title

    Analysis of active queue management

  • Author

    Chung, Jae ; Claypool, Mark

  • Author_Institution
    Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA
  • fYear
    2003
  • fDate
    16-18 April 2003
  • Firstpage
    359
  • Lastpage
    366
  • Abstract
    Active Queue Management (AQM) is intended to achieve high link utilization with a low queuing delay. Recent studies show that RED, one of the most well-known AQMs, is difficult to configure and does not provide significant performance gains given the complexity required for proper configuration. Recent variants of RED, such as Adaptive-RED are designed to provide more robust RED performance under a wider-range of traffic conditions but have not yet been evaluated. This paper presents a router queue behavior model (a queue law) for TCP-dropping and TCP-marking control systems, and uses the queue law to illustrate the impact of TCP traffic on the load and queue behavior of congested routers. Through queue law analysis and simulation, this paper confirms that RED-like AQM techniques that employ packet dropping do not significantly improve performance over that of drop-tail queue management. However, when AQM techniques use Explicit Congestion Notification (ECN) as a method to notify TCP sources of congestion rather than packet drops, the performance gains of AQM in terms of goodput and delay can be significant over that of drop-tail queue management.
  • Keywords
    computer network management; digital simulation; queueing theory; transport protocols; Explicit Congestion Notification; RED-like AQM techniques; Random Early Detection; TCP-dropping control systems; TCP-marking control systems; active queue management; drop-tail queue management; high link utilization; load behavior; queue behavior; queue law; router queue behavior model; traffic conditions; Communication system traffic control; Delay; Feedback control; Internet; Load modeling; Performance gain; Queueing analysis; Robustness; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications, 2003. NCA 2003. Second IEEE International Symposium on
  • Print_ISBN
    0-7695-1938-5
  • Type

    conf

  • DOI
    10.1109/NCA.2003.1201176
  • Filename
    1201176